Take2 Consulting, LLC ยท 1 day ago
Data Engineer
Take2 Consulting, LLC is seeking a Data Engineer to design, build, and maintain cloud-native data pipelines and analytics capabilities on an AWS-based big data platform. The role involves collaborating with data scientists and providing technical leadership while implementing DevOps practices and optimizing big data solutions.
ConsultingLegalManagement Consulting
Responsibilities
Design, build, and maintain cloud-native data pipelines and analytics capabilities on an AWS-based big data platform
Develop and troubleshoot data engineering, integration, visualization, and ML/AI workflows using AWS services such as Glue, Lambda, Redshift, EMR, SageMaker, and QuickSight
Collaborate closely with data scientists to enable data analysis, visualization, and machine learning model development
Provide technical leadership and work cross-functionally with engineers, architects, analysts, and developers to align data architecture across projects
Implement DevOps and Infrastructure-as-Code practices using tools like Terraform, Ansible, or AWS CDK to support secure, scalable deployments
Support code quality, security, and reliability through peer reviews, vulnerability management, and occasional production support
Design and optimize big data and streaming solutions using technologies such as Spark, Hadoop, and relational databases, particularly Redshift
Operate within agile teams, partnering with product owners and engineering leaders to align business goals with technical solutions
Qualification
Required
Design, build, and maintain cloud-native data pipelines and analytics capabilities on an AWS-based big data platform
Develop and troubleshoot data engineering, integration, visualization, and ML/AI workflows using AWS services such as Glue, Lambda, Redshift, EMR, SageMaker, and QuickSight
Collaborate closely with data scientists to enable data analysis, visualization, and machine learning model development
Provide technical leadership and work cross-functionally with engineers, architects, analysts, and developers to align data architecture across projects
Implement DevOps and Infrastructure-as-Code practices using tools like Terraform, Ansible, or AWS CDK to support secure, scalable deployments
Support code quality, security, and reliability through peer reviews, vulnerability management, and occasional production support
Design and optimize big data and streaming solutions using technologies such as Spark, Hadoop, and relational databases, particularly Redshift
Operate within agile teams, partnering with product owners and engineering leaders to align business goals with technical solutions